Mac Studio
Geekbench AI Score
10969
Single Precision Score
12176
Half Precision Score
11355
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dzappone |
| Upload Date | May 01 2025 04:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4526
841.7 IPS |
|
|
Image Classification (HP)
|
100% |
4729
879.4 IPS |
|
|
Image Classification (Q)
|
96% |
4197
783.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10225
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10031
162.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9548
154.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47451
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49447
57.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47538
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
4745
376.4 IPS |
|
|
Object Detection (HP)
|
100% |
4964
393.7 IPS |
|
|
Object Detection (Q)
|
92% |
4570
364.8 IPS |
|
|
Face Detection (SP)
|
100% |
18795
223.3 IPS |
|
|
Face Detection (HP)
|
100% |
19227
228.5 IPS |
|
|
Face Detection (Q)
|
100% |
16095
191.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23664
182.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24541
189.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22592
176.7 IPS |
|
|
Style Transfer (SP)
|
100% |
80810
103.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95821
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
93459
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15971
589.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16284
601.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13934
514.5 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4046
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2137
36.9 IPS |
